Abstract:
A mixed Neural-Finite Element Method (FEM) strategy is proposed for the evaluation of magnetic permeability for the equivalent homogenized material of a magnetic shieldin...Show MoreMetadata
Abstract:
A mixed Neural-Finite Element Method (FEM) strategy is proposed for the evaluation of magnetic permeability for the equivalent homogenized material of a magnetic shielding mortar containing ferromagnetic particles. The approach is based on a two phases procedure: in the first phase thousands of FEM meshes representing the same sample geometry, with different inclusions distribution, are used to compute the magnetic field; the data so achieved are then used to fed a feedforward neural network, which is able to extract the relationship, among the quantity of magnetic material used (input), its magnetic permeability (input) and the equivalent material characteristic (output). These two phases are unsupervised as in a machine learning approach in such a way that the estimation can be refined automatically. The obtained results are validated by comparison with experimental data available from literature.
Published in: 2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
Date of Conference: 09-12 September 2019
Date Added to IEEE Xplore: 11 November 2019
ISBN Information: